DocumentCode :
325228
Title :
Refinement and identification of fuzzy relational models
Author :
Campello, Ricardo J G B ; Do Amaral, Wagner C.
Author_Institution :
Fac. of Electr. & Comput. Eng., Campinas Univ., Brazil
Volume :
1
fYear :
1998
fDate :
4-9 May 1998
Firstpage :
651
Abstract :
The paper is concerned with fuzzy relational model identification. Two methods are proposed to estimate the parameters of such models. The first one is an optimization based methodology which uses sequential procedures of quadratic programming to refine models previously estimated by other methods. From this methodology, a recursive algorithm is derived. This algorithm is suitable for online identification. Two examples care presented using classical dynamic systems to illustrate the performance of the proposed methods
Keywords :
fuzzy set theory; matrix algebra; modelling; quadratic programming; recursive estimation; classical dynamic systems; fuzzy relational models; online identification; optimization based methodology; quadratic programming; recursive algorithm; sequential procedures; Electronic mail; Equations; Function approximation; Fuzzy control; Fuzzy sets; Optimization methods; Predictive models; Process control; Quadratic programming; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1098-7584
Print_ISBN :
0-7803-4863-X
Type :
conf
DOI :
10.1109/FUZZY.1998.687565
Filename :
687565
Link To Document :
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